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DBMS > EXASOL vs. Microsoft SQL Server vs. Vitess

System Properties Comparison EXASOL vs. Microsoft SQL Server vs. Vitess

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Microsofts flagship relational DBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#120  Overall
#57  Relational DBMS
Score853.57
Rank#3  Overall
#3  Relational DBMS
Score1.26
Rank#186  Overall
#85  Relational DBMS
Websitewww.exasol.comwww.microsoft.com/­en-us/­sql-servervitess.io
Technical documentationwww.exasol.com/­resourceslearn.microsoft.com/­en-US/­sql/­sql-servervitess.io/­docs
DeveloperExasolMicrosoftThe Linux Foundation, PlanetScale
Initial release200019892013
Current releaseSQL Server 2022, November 202215.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PlanetScale: The easiest way to deploy Vitess in the cloud. Get the scalability of Vitess without all the work. Start your fully managed database with PlanetScale today.
Implementation languageC++Go
Server operating systemsLinux
Windows
Docker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensions
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
Lua
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoproprietary syntax
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
EXASOLMicrosoft SQL ServerVitess
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Recent citations in the news

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol Unveils the No-Compromise Analytics Database Unlocking Greater Productivity, Cost-Savings, and Flexibility
30 May 2023, Business Wire

Exasol brings SaaS-flex to on-prem and public cloud systems
31 May 2023, The Register

Exasol Reimagines In-Memory Analytics with Major Database Update
30 May 2023, Datanami

Top Customer-Rated Exasol Espresso Gets Boost of AI
13 November 2023, Business Wire

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31 October 2023, BizTech Magazine

Creating and Managing Databases Using Microsoft SQL Server
8 December 2023, New York Institute of Technology

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Vitess, the database clustering system powering YouTube, graduates CNCF incubation
5 November 2019, SiliconANGLE News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

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